Construction and Analysis of a Resource Optimization and Allocation Model for Large-Scale Online Classrooms

[1] Zheng, Y., & Yang, R. Y. (2017). The rise of MOOCs: The literature review of research progress and hot spots of MOOCs education in mainland China. Eurasia Journal of Mathematics, Science and Technology Education, 13(9), 6165-6174. Search in Google Scholar

[2] Liu, Z. Y., Lomovtseva, N., & Korobeynikova, E. (2020). Online learning platforms: Reconstructing modern higher education. International Journal of Emerging Technologies in Learning (iJET), 15(13), 4-21. Search in Google Scholar

[3] Zhang, J., & Zhou, J. (2023). An Introduction to Education Informatization for Educational Equity: An Example of Online Education Platform. Journal of Education and Educational Research, 3(2), 114-118. Search in Google Scholar

[4] Mashau, P., & Nyawo, J. C. (2021). The use of an online learning platform: A step towards e-learning. South African Journal of Higher Education, 35(2), 123-143. Search in Google Scholar

[5] Alshurideh, M., Salloum, S. A., Al Kurdi, B., Monem, A. A., & Shaalan, K. (2019). Understanding the quality determinants that influence the intention to use the mobile learning platforms: A practical study. International Journal of Interactive Mobile Technologies, 13(11). Search in Google Scholar

[6] Nian, L. H., Wei, J., & Yin, C. B. (2019). The promotion role of mobile online education platform in students’ self-learning. International Journal of Continuing Engineering Education and Life Long Learning, 29(1-2), 56-71. Search in Google Scholar

[7] Diva, I., Etfita, F., & Wahyuni, S. (2022). Students’ Perceptions of Learning Platform: The Advantages and Disadvantages of Quipper School. J-SHMIC: Journal of English for Academic, 9(1), 42-50. Search in Google Scholar

[8] Libre, N. A. (2021). A discussion platform for enhancing students interaction in the online education. Journal of Online Engineering Education, 12(2), 07-12. Search in Google Scholar

[9] Tangirov, K. E., & Abdullayeva, M. A. (2024). ADVANTAGES OF USING THE MOODLE PLATFORM IN DISTANCE EDUCATION. Mental Enlightenment Scientific-Methodological Journal, 5(03), 60-71. Search in Google Scholar

[10] Liu, R. (2018, August). Discussion on the Construction of Talent Cultivation Innovation Platform in Local Universities of Undergraduate Education—From the Perspective of the Cultivation of Innovation Spirits and Ability of College Students. In 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018) (pp. 218-224). Atlantis Press. Search in Google Scholar

[11] Li, N., & Chen, X. (2021). Research on the Cultivation Model of Diversified Application Talents for Broadcasting and Television Directors Based on Cloud Network Platform. In E3S Web of Conferences (Vol. 251, p. 01015). EDP Sciences. Search in Google Scholar

[12] Guo, F. (2020). Design and application of the web-based autonomous English learning platform based on the cultivation of students’ thinking ability. In Frontier Computing: Theory, Technologies and Applications (FC 2019) 8 (pp. 1456-1462). Springer Singapore. Search in Google Scholar

[13] Moldavan, A. M., Edwards-Leis, C., & Murray, J. (2022). Design and pedagogical implications of a digital learning platform to promote well-being in teacher education. Teaching and Teacher Education, 115, 103732. Search in Google Scholar

[14] Zhu, X. (2023). Study on regional digital teaching resource sharing platform based on internet of things and big data. International Journal of Industrial and Systems Engineering, 44(4), 458-474. Search in Google Scholar

[15] Jiao, K., Han, X., Xu, L., & Gao, T. (2022). Research on the integration and optimisation of MOOC teaching resources based on deep reinforcement learning. International Journal of Continuing Engineering Education and Life Long Learning, 32(6), 763-777. Search in Google Scholar

[16] Wang, J. (2019). Network distance education platform control system based on big data. International journal of internet protocol technology, 12(3), 173-180. Search in Google Scholar

[17] He, Z. Y., Wu, Y. Q., & You, X. P. (2019). Research on optimisation of MOOC education model based on participatory visual teaching technology. International Journal of Continuing Engineering Education and Life Long Learning, 29(4), 388-402. Search in Google Scholar

[18] Quan, Z., & Pu, L. (2023). An improved accurate classification method for online education resources based on support vector machine (SVM): Algorithm and experiment. Education and information technologies, 28(7), 8097-8111. Search in Google Scholar

[19] Dahdouh, K., Dakkak, A., Oughdir, L., & Ibriz, A. (2019). Large-scale e-learning recommender system based on Spark and Hadoop. Journal of Big Data, 6(1), 1-23. Search in Google Scholar

[20] Rjoub, G., Bentahar, J., Abdel Wahab, O., & Saleh Bataineh, A. (2021). Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems. Concurrency and Computation: Practice and Experience, 33(23), e5919. Search in Google Scholar

[21] Jia, Y. H., Chen, W. N., Gu, T., Zhang, H., Yuan, H. Q., Kwong, S., & Zhang, J. (2018). Distributed cooperative co-evolution with adaptive computing resource allocation for large scale optimization. IEEE Transactions on Evolutionary Computation, 23(2), 188-202. Search in Google Scholar

[22] Fan, D. (2021, December). Design and Implementation of Chinese Teaching Resources Optimal Allocation Platform Based on Big Data Technology. In 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) (pp. 1024-1028). IEEE. Search in Google Scholar

[23] Wan, P., Wang, X., Lin, Y., & Pang, G. (2021). A knowledge diffusion model in autonomous learning under multiple networks for personalized educational resource allocation. IEEE Transactions on Learning Technologies, 14(4), 430-444. Search in Google Scholar

[24] Peng, Y., Bao, Y., Chen, Y., Wu, C., & Guo, C. (2018, April). Optimus: an efficient dynamic resource scheduler for deep learning clusters. In Proceedings of the Thirteenth EuroSys Conference (pp. 1-14). Search in Google Scholar

[25] Rumeng Chen,Feng Hu,Feng Wang & Libing Bai. (2023). Hypergraph-Clustering Method Based on an Improved Apriori Algorithm. Applied Sciences(19). Search in Google Scholar

[26] Xubo Wu,Huan Fang & Xiangyu Zhang. (2023). An Approach of Improved Traversal Merging of Transaction Data for Faster Apriori Algorithm. Advances in Computer, Signals and Systems(8). Search in Google Scholar

[27] Telikicherla Ram Mohan & Moutsanidis Georgios. (2023). An assessment of the total Lagrangian material point method: Comparison to conventional MPM, higher order basis, and treatment of near-incompressibility. Computer Methods in Applied Mechanics and Engineering. Search in Google Scholar

[28] Shuqin Dong,Ying Yu,Huibin Ge & Yaozhi Luo. (2024). Nonlinear dynamic collapse analysis of space semi-rigid frames using finite particle method. Journal of Constructional Steel Research108607-. Search in Google Scholar

[29] Bojiao Sha & Zupeng Jia. (2024). A very robust MMALE method based on a novel VoF method for two-dimensional compressible fluid flows. Computers and Mathematics with Applications86-107. Search in Google Scholar